Scientists Predict World Cup 2018 Winner Using Machine Learning

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A team led by Andreas Groll at the Technical University of Dortmund in Germany have combined machine learning and statistical analysis to identify who they think will be the most likely winner of the World Cup 2018.

The team simulated the soccer tournament 100,000 times and used three different modeling approaches based on performances in all previous matches from 2002 until 2014.

Random-forest approach

Their paper, published this week, outlines the details of the technique they used called the random-forest approach,


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